- Lecturer: School of Computational and Communication Sciences and Engineering (CoCSE)
- Area of Specialization:
- Information Technology System Development and Management
- Courses taught:
- Machine Learning
- Data Mining
- Mobile Commerce
- Document Engineering and Information Architecture
- Memberships:
- NM-AIST Graduation
- Mandela Week Exhibition
- TCU Exhibition
- Awards:
- L’Oréal-UNESCO for Women in Science, 20 Young Talents in Sub-Saharan Africa
- WIMA STEM awarded by Women in Management Africa (WIMA)
- Excellence in Science and Technology Leadership awarded by Coca-Cola Kwanza Ltd
- International Women’s Day Recognition awarded by Puma Energy Tanzania
- Women in Science awarded by Next Einstein Forum
- Tanzania Sheroes awarded by The Launchpad and Embassy of Sweden
- Deep Learning Indaba conference, MIT Press Book award at Nairobi, Kenya
- Projects (Ongoing):
- Machine Learning Datasets forCrop Diseases: Imagery and Spectrometry Datafunded by International Development Research Centre (IDRC) and Swedish International Development Cooperation Agency (SIDA) through Lacuna Fund in Agriculture
- Deep Learning Techniques for Early Detection of Crop Diseases funded by IDRC/SIDA through African Centre for Technology Studies (ACTS)
- Data Science Africa University Program funded by Data Science Africa (DSA)
- Publications :
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Dr. Neema Mduma is a computer science professional working as a lecturer in the school of Computational and Communication Sciences and Engineering (CoCSE) at the Nelson Mandela African Institution of Science and Technology (NM-AIST). She has a PhD in Information and Communication Sciences and Engineering from the same Institution. Neema is passionate about education particularly to girls and she is the founder of BakiShule which aims at preventing students from dropping out of school.
Neema enjoys conducting community services as well as sharing her experiences and knowledge among youth to strive towards making a difference in their lives. This triggered her passion to offer inspiration and career coaching to youth in her community. She has thus been among the advisors of a peer educators group that voluntarily provides education to the youth and other people around the community, at no cost to the beneficiaries. As part of the community work, Neema organize free trainings and workshops with the focus on inspiring and exposing girls in data science, machine learning and artificial intelligence. The workshop and training aim to encourage an exploration with technology, promote self-confidence and support aspiration to technical careers among girl students.
Neema is also serves as a researcher in three projects i.e. Student Dropout Prediction (2017), School Dropout Visualization (2018) and LisheYetu (2019) which won the data for local impact challenge funded by The United States President's Emergency Plan For AIDS Relief (PEPFAR) and World Food Programme (WFP) though Tanzania Data Lab (dLab). Each project was given 25,000 USD to facilitate their innovative ideas for solving societies problems related to students dropout, HIV/AIDS and malnutrition.
Currently, she is serving as the reviewer in International Conference of Machine Learning (ICML), Association for Computing Machinery (ACM), Black in Artificial Intelligence (BAI) and Women in Machine Learning (WiML).
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